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Thesis

Populations to pathways: characterisation, clustering, genetics, and data-driven drug repurposing for post-acute COVID-19

Abstract:
Background: The emergence of the SARS-CoV-2 pandemic and the consequent Long COVID have become a worldwide health, economic and socio-political issue. In 2022, its epidemiology, clinical presentation, subtypes and risk factors were largely unknown. In 2026, despite the growing body of evidence on the matter, insight into its biological mechanisms and potential treatment avenues is still lacking. The use of large, routinely collected health data is of utmost importance to brin... Expand abstract

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Authors

More by this author
Institution:
University of Oxford
Division:
MSD
Department:
NDORMS
Role:
Author
ORCID:
0000-0002-8462-8668

Contributors

Institution:
University of Oxford
Division:
MSD
Department:
NDORMS
Role:
Supervisor
ORCID:
0000-0002-3950-6346
Institution:
University of Oxford
Division:
MSD
Department:
NDORMS
Sub department:
Botnar Institute for Musculoskeletal Sciences
Role:
Supervisor
Institution:
University of Oxford
Division:
MSD
Department:
NDORMS
Sub department:
Botnar Institute for Musculoskeletal Sciences
Role:
Supervisor
ORCID:
0000-0003-3308-9905
Institution:
University of Oxford
Division:
MSD
Department:
NDORMS
Sub department:
Botnar Institute for Musculoskeletal Sciences
Role:
Supervisor
ORCID:
0000-0002-0040-0042

More from this funder
Funder identifier:
https://ror.org/03x94j517
Funding agency for:
Lopez Guell, K
Grant:
2748588
Programme:
iCASE MRC DTP

DOI:
Type of award:
DPhil
Level of award:
Doctoral
Awarding institution:
University of Oxford

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